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  • Sprache: Englisch

    Verlag: Springer, 2007

    038723117X / 9780387231174

    • Hardcover

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    Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

  • Sprache: Englisch

    Verlag: Springer, 2007

    038723117X / 9780387231174

    • Hardcover

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    Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Sprache: Englisch

    Verlag: Springer, 2007

    038723117X / 9780387231174

    • Hardcover

    Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.

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    Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Sprache: Englisch

    Verlag: Springer US, 2007

    038723117X / 9780387231174

    • Hardcover

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    Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | While it is tempting to label computational materials modeling as an emerging field of research, the truth is that both in nature and foundation, it is just as much an established field as the concepts and techniques that define it. It is the recent enormous growth in computing power and communications that has brought the activity to the forefi-ont, turning it into a possible com­ ponent of any modem materials research program. Together with its increased role and visibility, there is also a dynamic change in the way computational modeling is perceived in such a vast field as materials science with its wide range of length and time scales. As the pace of materials research accelerates and the need for often inaccessible information continues to grow, the de­ mands and expectations on existing modeling techniques have progressed that much faster. Primarily because there is no one technique that can provide all the answers at every length and time scale in materials science, excessive expectations of computational materials modeling should be avoided if pos­ sible. While it is apparent that computational modeling is the most efficient method for dealing with complex systems, it should not be seen as an alter­ native to traditional experimentation. Instead there is another option, which is perhaps the one that is most likely to become the defining characteristic of computational materials modeling.

  • Sprache: Englisch

    Verlag: Springer, 2010

    1441935754 / 9781441935755

    • Softcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2007

    038723117X / 9780387231174

    • Hardcover

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2010

    1441935754 / 9781441935755

    • Softcover

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    Taschenbuch. Zustand: Neu. Applied Computational Materials Modeling | Theory, Simulation and Experiment | Guillermo Bozzolo (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9781441935755 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Sprache: Englisch

    Verlag: Springer Verlag, 2007

    038723117X / 9780387231174

    • Hardcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    Hardcover. Zustand: Brand New. 1st edition. 491 pages. 9.25x6.25x1.00 inches. In Stock.

  • Sprache: Englisch

    Verlag: Springer, 2010

    1441935754 / 9781441935755

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - While it is tempting to label computational materials modeling as an emerging field of research, the truth is that both in nature and foundation, it is just as much an established field as the concepts and techniques that define it. It is the recent enormous growth in computing power and communications that has brought the activity to the forefi-ont, turning it into a possible com ponent of any modem materials research program. Together with its increased role and visibility, there is also a dynamic change in the way computational modeling is perceived in such a vast field as materials science with its wide range of length and time scales. As the pace of materials research accelerates and the need for often inaccessible information continues to grow, the de mands and expectations on existing modeling techniques have progressed that much faster. Primarily because there is no one technique that can provide all the answers at every length and time scale in materials science, excessive expectations of computational materials modeling should be avoided if pos sible. While it is apparent that computational modeling is the most efficient method for dealing with complex systems, it should not be seen as an alter native to traditional experimentation. Instead there is another option, which is perhaps the one that is most likely to become the defining characteristic of computational materials modeling.

  • Sprache: Englisch

    Verlag: Springer, Springer, 2007

    038723117X / 9780387231174

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - While it is tempting to label computational materials modeling as an emerging field of research, the truth is that both in nature and foundation, it is just as much an established field as the concepts and techniques that define it. It is the recent enormous growth in computing power and communications that has brought the activity to the forefi-ont, turning it into a possible com ponent of any modem materials research program. Together with its increased role and visibility, there is also a dynamic change in the way computational modeling is perceived in such a vast field as materials science with its wide range of length and time scales. As the pace of materials research accelerates and the need for often inaccessible information continues to grow, the de mands and expectations on existing modeling techniques have progressed that much faster. Primarily because there is no one technique that can provide all the answers at every length and time scale in materials science, excessive expectations of computational materials modeling should be avoided if pos sible. While it is apparent that computational modeling is the most efficient method for dealing with complex systems, it should not be seen as an alter native to traditional experimentation. Instead there is another option, which is perhaps the one that is most likely to become the defining characteristic of computational materials modeling.